This Python-based server is tailored for Model Context Protocol (MCP) interactions, particularly within the Claude Desktop environment. It focuses on efficient memory management, crucial for handling large-scale infrastructure tracking. The server offers comprehensive resource and tool implementations following MCP patterns, SQLite-based persistent storage with connection pooling, and robust error handling, designed to facilitate seamless communication and data management for AI-driven workflows.